How to Introduce Machine Learning to your Business
Artificial intelligence systems usually learn by example and are likely to learn better with high-quality examples. Low quality or insufficient training data can lead to ...
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Virtualized network functions: The cloudification of telecoms leading to a new class of applications
The Cloudification of the Telecoms market Last week, Nokia announced 10,000 jobs lost worldwide. Telecoms is a cyclical business with the G cycles (roughly spanning seven...
7 Tips for B2B & B2C Portal Development that Speed Up Your Website
Today, many B2B customers are turning to B2B websites to buy their products and services outright. While B2B companies receive value from customer satisfaction within the...
Can Deep Learning Address Limited Bandwidth and Other Video Streaming Challenges?
We all experience video streaming issues, probably on a daily basis. But now that people aren’t just streaming for entertainment, but are relying on it in many cases to...
How Healthcare can Benefit from IoT?
The past year has presented the medical industry with new challenges that humanity has hardly faced before. The situation in the world has accelerated the rapid pace of s...
Unleashing the Business Value of Technology Part 1: Framing the Challenge
My recent journeys have brought me before both technology vendors and technology customers, and interestingly enough, both are asking the same question: “How do we unle...
Six use cases in Blockchain Analysis
Blockchain analysis is the process of inspecting, identifying, grouping, modeling, and visually representing the data contained in the blockchain. As we know, blockchain ...
What should Java developers learn in 2021?
If you want to work effectively on Java projects as a developer in this competitive world, there are many things you should learn. You must have many skills, and what you...
The Bayesian vs frequentist approaches (Part 3) parametric vs non-parametric models
This post continues our discussion on the Bayesian vs the frequentist approaches. Here, we consider implications for parametric and non-parametric models In the previous ...
Why I think the Potential Outcomes Theory is woefully incomplete without Pearl’s enhancements to it
Judea Pearl (left) and Donald Rubin (right) taken in 2014. Full disclosure: I am a big fan of Judea Pearl and his contributions to Bayesian Networks (bnets) and Causal ...